CUB is a fine-grained few-shot classification benchmark. It contains 200 different classes of birds with a total of 11,788 images of size \(84\times 84\times 3\) . Following previous works [1]}, we split the dataset into 100 base classes, 50 validation classes, and 50 novel classes.
